Amazon EMR

Amazon EMR

Amazon
Apache Hive

Apache Hive

Apache Software Foundation
+
+

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About

Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting.

About

The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive. Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Previously it was a subproject of Apache® Hadoop®, but has now graduated to become a top-level project of its own. We encourage you to learn about the project and contribute your expertise. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like queries (HiveQL) into the underlying Java without the need to implement queries in the low-level Java API.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies that want to easily run and scale Apache Spark, Hive, Presto, and other big data frameworks

Audience

Developers and anyone looking for a data warehouse software that facilitates reading, writing, and managing large datasets using SQL

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/emr/

Company Information

Apache Software Foundation
Founded: 1999
United States
hive.apache.org

Alternatives

Alternatives

Apache Drill

Apache Drill

The Apache Software Foundation
Apache HBase

Apache HBase

The Apache Software Foundation
Apache Hudi

Apache Hudi

Apache Corporation
E-MapReduce

E-MapReduce

Alibaba
Apache Spark

Apache Spark

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation

Categories

Categories

Integrations

Apache Phoenix
Apache Spark
Ataccama ONE
Data Virtuality
Immuta
Lyftrondata
Okera
Privacera
Progress DataDirect
Protegrity
Sifflet
AWS Lake Formation
Amazon EMR
Hackolade
IBM Cloud Pak for Integration
New Relic
StarRocks
Vaultspeed
Xtendlabs

Integrations

Apache Phoenix
Apache Spark
Ataccama ONE
Data Virtuality
Immuta
Lyftrondata
Okera
Privacera
Progress DataDirect
Protegrity
Sifflet
AWS Lake Formation
Amazon EMR
Hackolade
IBM Cloud Pak for Integration
New Relic
StarRocks
Vaultspeed
Xtendlabs
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